Google Cloud eğitimlerini dilediğiniz şekilde keşfedin.

980'den fazla öğrenim aktivitesi barındıran kapsamlı Google Cloud kataloğu, ihtiyaçlarınıza uygun şekilde tasarlanmıştır. Katalogda çeşitli aktivite formatları yer alır. Tek parçalık kısa laboratuvarlar ya da video, belge, laboratuvar ve testler içeren çok modüllü kurslar arasından seçim yapabilirsiniz. Laboratuvarlarımız kapsamında, gerçek bulut kaynaklarına erişmeniz için geçici kimlik bilgileri verilir. Böylece Google Cloud'u doğrudan platformu kullanarak öğrenebilirsiniz. Google Cloud'da tamamladığınız aktivitelerden rozetler kazanabilir, bu sayede ilerlemenizi öğrenebilir, takip edebilir ve ölçebilirsiniz.

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1187 results
  1. Lab Featured

    Build LookML Objects in Looker: Challenge Lab

    In this challenge lab, you test your skills in building LookML objects in Looker. You are expected to create and use dimensions, measures, views, derived tables, filters, and datagroups.

  2. Lab Featured

    Cloud Spanner - Loading Data and Performing Backups

    In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.

  3. Lab Featured

    Identify Application Vulnerabilities with Security Command Center

    In this lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.

  4. Lab Featured

    ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)

    In this lab, you build several data pipelines that ingest and transform data from a publicly available dataset into BigQuery.

  5. Lab Featured

    Importing Data to a Firestore Database

    In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.

  6. Lab Featured

    Explore Google Cloud VMware Engine - Foundations

    In this lab, you will inspect a Google Cloud VMware Engine Private Cloud and explore vSphere, NSX-T, and HCX management appliances.

  7. Lab Featured

    Process Documents with Python Using the Document AI API

    Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python.

  8. Lab Featured

    SAP Landing Zone: Plan and Deploy the SAP Network

    In this lab, students will be introduced to the key activities involved in deploying GCP network resources involved in building an “SAP Landing Zone”.

  9. Lab Featured

    App Dev: Adding User Authentication to your Application - Python

    In this lab, you will enhance the online Quiz application to use Firebase authentication.

  10. Lab Featured

    Monitor and Log with Google Cloud Observability: Challenge Lab

    This challenge lab tests your skills with Google Cloud Observability.